Table 2.
Result of multiple linear regression with combining the bootstrap method.
| Variable | Estimate | Std error | t-value | P-value |
|---|---|---|---|---|
| Intercept | 79.43008 | 2.63104 | 30.19 | <0.01 |
| Waist | 0.33490 | 0.02812 | 11.91 | <0.01 |
| HDL | 0.57861 | 0.02086 | 27.74 | <0.01 |
| Border | 8.55657 | 0.71685 | 11.94 | <0.01 |
| Hyper | 19.93486 | 0.75571 | 26.38 | <0.01 |
Multiple Linear Regression was applied.